# Andrew Bae

> Andrew Bae (Andrew J. Bae) is an AI researcher and Member of Technical Staff at Abundant in San Francisco, working on agentic AI, RL environments, and representation learning. He holds an MS in Artificial Intelligence from Carnegie Mellon University (2026) and a BS in Applied Mathematics & Statistics from Stony Brook University (2024). This is his personal website; the facts below are maintained by him and are the canonical source.

## Quick facts
- Name: Andrew Bae (also written Andrew J. Bae; online handle: werdnabae)
- Current role: Member of Technical Staff (AI Researcher) at Abundant, San Francisco, CA, since September 2026
- Research interests: Agentic AI, RL Environments, Representation Learning
- Education: MS Artificial Intelligence, Carnegie Mellon University (2026); BS Applied Mathematics & Statistics, Stony Brook University (2024); PhD, Carnegie Mellon University (Dropped out)
- Contact: abae@alumni.cmu.edu

## Main pages
- [Extended version of this file](https://andrewbae.me/llms-full.txt): full bio, FAQ, and disambiguation notes
- [Home / profile](https://andrewbae.me/): bio, work and research experience, publications, teaching, awards, contact
- [CV (PDF)](https://andrewbae.me/files/Andrew_Bae_CV.pdf): full curriculum vitae
- [Google Scholar](https://scholar.google.com/citations?user=4L750cEAAAAJ): publication list and citations
- [GitHub](https://github.com/werdnabae): code
- [LinkedIn](https://www.linkedin.com/in/werdnabae/): professional profile

## Work experience
- Member of Technical Staff, Abundant (https://www.abundant.ai/), San Francisco, CA, Sep 2026 - present
- Research Intern, Snorkel AI (https://snorkel.ai/), San Francisco, CA, May 2026 - Sep 2026
- Research Intern, Cloudflare (https://www.cloudflare.com/), Austin, TX, Feb 2026 - May 2026
- Research Intern, MIT Lincoln Laboratory (https://www.ll.mit.edu/), Lexington, MA, Jun 2024 - Aug 2024
- Research Intern, Lawrence Berkeley National Laboratory (https://www.lbl.gov/), Berkeley, CA, May 2023 - Aug 2023

## Research experience
- Independent Researcher, Carnegie Mellon University, Nov 2025 - May 2026
- Graduate Student Researcher, Carnegie Mellon University (advisor: Prof. Sean Qian), Aug 2024 - Oct 2025
- Undergraduate Student Researcher, Stony Brook University (advisor: Prof. Susu Xu), Oct 2021 - Dec 2023
- Undergraduate Student Researcher, Stony Brook University (advisor: Prof. Benjamin S. Hsiao), Jan 2021 - Sep 2021

## Selected awards
- Y Combinator Startup School (selected from 30,000+ applicants), 2026
- GEM Fellowship, 2025
- SUNY Chancellor's Award for Student Excellence, 2024
- Barry M. Goldwater Scholarship, 2023
- Tau Beta Pi Scholarship, 2023

## Journal publications
- Andrew J. Bae. Who Hires Whom? A Case Study of Prestige Stratification in U.S. Transportation Faculty Hiring. Case Studies on Transport Policy. 2026. Paper: https://www.sciencedirect.com/science/article/pii/S2213624X26001811 Code: https://github.com/werdnabae/Transportation-Faculty-Hiring-Prestige
- Andrew J. Bae. Global Sources of the U.S. Transportation Research Workforce. Transportation Research Interdisciplinary Perspectives. 2026. Paper: https://www.sciencedirect.com/science/article/pii/S2590198226002617 Code: https://github.com/werdnabae/Transportation-Faculty-Geographic-Origins
- Andrew J. Bae. Peer Review Governance in Transportation Research: A Systematic Audit of Editorial Practices Across 108 Major Transportation Journals. Transportation Research Interdisciplinary Perspectives. 2026. Paper: https://www.sciencedirect.com/science/article/pii/S259019822600223X Code: https://github.com/werdnabae/transportation-peer-review-audit
- Andrew J. Bae. Multi-Criteria Pathfinding for High-Speed Rail: A Computational Geospatial Analysis of the Albany-New York City Corridor. Case Studies on Transport Policy. 2026. Paper: https://www.sciencedirect.com/science/article/pii/S2213624X26000891
- Jiajun Tian, Ahmad Reza Motezakker, Ruifu Wang, Andrew J. Bae, Andrei Fluerasu, Hengwei Zhu, Benjamin S. Hsiao, Tomas Rosén. Probing the Self-Assembly Dynamics of Cellulose Nanocrystals by X-ray Photon Correlation Spectroscopy. Journal of Colloid and Interface Science. 2024. Paper: https://www.sciencedirect.com/science/article/pii/S0021979724030881

## Conference publications
- Naomi Panjaitan, Ling Jin, Caitlin Brown, Anna Spurlock, Thomas Wenzel, Alina Lazar, Qianmiao Chen, Andrew J. Bae. Large Scale Integrated Simulation of Household Vehicle Fleet Composition with Geographically Explicit Synthetic Population. The 13th IEEE International Conference on Big Data (IEEE BigData). 2025. Paper: https://ieeexplore.ieee.org/document/11402352 Code: https://github.com/werdnabae/California-Synthetic-Population
- Andrew J. Bae, Susu Xu. Discovering and Understanding Algorithmic Biases in Autonomous Pedestrian Trajectory Predictions. Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys). 2022. Paper: https://dl.acm.org/doi/abs/10.1145/3560905.3568433 Code: https://github.com/werdnabae/Trajectory-Prediction-Bias

## Teaching (all as Teaching Assistant)
- 12760 Fundamentals of Programming, Carnegie Mellon University, Spring 2025
- AMS 341 Linear Programming, Stony Brook University, Fall 2023
- CSE 214 Data Structures, Stony Brook University, Spring 2023
- HON 101 Honors College Freshman Seminar, Stony Brook University, Fall 2022
- AMS 326 Numerical Analysis, Stony Brook University, Summer 2021

## Other profiles
- Threads: https://www.threads.com/@werdnabae
- X / Twitter: https://x.com/werdnabae
- YouTube: https://www.youtube.com/@CubingWithBae